2019 Sensing Systems Theory

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Academic unit or major
Undergraduate major in Systems and Control Engineering
Instructor(s)
Ohyama Shinji 
Course component(s)
Lecture
Day/Period(Room No.)
Thr5-6(S516)  
Group
-
Course number
SCE.I303
Credits
1
Academic year
2019
Offered quarter
2Q
Syllabus updated
2019/3/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Improvement of S/N ratio is the end goal for measurement technology. Methodology to achieve this goal will be discussed.

Student learning outcomes

Understand the fundamental methodology to achieve high precision with measurement technology.

Keywords

Measurement, noise reduction, differential system, measurement equation

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills

Class flow

In each class, a problem to solve will be presented, as well as an approach to solving it. In addition, students will be encouraged to think freely through a quiz in each class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction Nothing
Class 2 Components for measurement system, Role of hardware and software What is noise?
Class 3 Noise of a measurement system and its effects Is it possible to reduce noise?
Class 4 Signal processing of noise reduction Equivalent circuit of noise contamination
Class 5 Differential system and its application System analysis of a differential system
Class 6 Measurement equation Measurement principle of GPS
Class 7 Measurement system construction theory Which is better for noise reduction, software or hardware?
Class 8 Summary, report nothing

Textbook(s)

N/A

Reference books, course materials, etc.

Handouts

Assessment criteria and methods

Quiz and final report

Related courses

  • N/A

Prerequisites (i.e., required knowledge, skills, courses, etc.)

N/A

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